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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northwest CASC > FY 2011 Projects ( Show direct descendants )

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Cheatgrass began invading the Great Basin about 100 years ago, changing large parts of the landscape from a rich, diverse ecosystem to one where a single invasive species dominates. Cheatgrass dominated areas experience more fires that burn more land than in native ecosystems, resulting in economic and resource losses. Therefore, the reduced production, or absence, of cheatgrass in previously invaded areas during years of adequate precipitation could be seen as a windfall. However, this cheatgrass dieoff phenomenon creates other problems for land managers like accelerated soil erosion, loss of early spring food supply for livestock and wildlife, and unknown recovery pathways. We used satellite data and scientific...
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We mapped eleven years of cheatgrass dieoff in the northern Great Basin. If we estimated that a dieoff occurred in a pixel anytime during that eleven year period, then the pixel was coded as dieoff. If no dieoff occurred, the pixel was coded as a non dieoff. The cheatgrass dieoff probability map was produced by inputting the coded data into a decision-tree model along with topographic data, edaphic data, land cover data, and climate data. A proxy for latitude was included. The resulting model was input into a mapping application that generated a map of cheatgrass dieoff probability.
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The dataset contains a time series (2000-2013) of cheatgrass percent cover maps covering the western and central areas of the northern Great Basin. The original time series (2000 to 2010) has been extended to include years 2011, 2012, and 2013. The additional maps were built by applying satellite data from their respective years to model parameters developed from the 2000 to 2010 model
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The “Dieoff” contains every year’s cheatgrass dieoff maps as .png files. This also contains the Dieoff Probability map, also as a .png file.
Since January 2011, the EROS team studying cheatgrass in the Great Basin has made significant strides developing datasets that identify cheatgrass extents and abundances and cheatgrass dieoff in and around the Winnemucca, Nevada area. Additionally, the team, in partnership with the BLM, received money from the USGS’ Northwest Climate Science Center to expand our cheatgrass dieoff study area to most of the northern Great Basin. In the Winnemucca area, we developed a regression-tree model, trained on Peterson’s cheatgrass maps, that generated a time series (2000 – 2010) of cheatgrass extents and abundances and then analyzed the relationships between this cheatgrass time series and spatially explicit site-specific...
Cheatgrass began invading the Great Basin about 100 years ago, changing large parts of the landscape from a rich, diverse ecosystem to one where a single invasive species dominates. Cheatgrass is highly flammable; consequently, cheatgrass-dominated areas experience more fires that burn more land than in native ecosystems, resulting in economic and resource losses. Therefore, the reduced production, or absence, of cheatgrass in previously invaded areas during years of adequate precipitation could be seen as a windfall. However, this cheatgrass dieoff phenomenon creates other problems for land managers such as accelerated soil erosion, loss of early spring food supply for livestock and wildlife, and unknown recovery...
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The “PercentCover” contains every year’s cheatgrass percent cover maps, a map of mean values, a standard deviation map, and a coefficient of variation map. 14 maps total.
    map background search result map search result map Modeling Effects of Climate Change on Cheatgrass Die-Off Areas in the Northern Great Basin Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Mapping Cheatgrass Percent Cover in the northern Great Basin using a Regression-tree Model Modeling Effects of Climate Change on Cheatgrass Die-Off Areas in the Northern Great Basin Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Mapping Cheatgrass Percent Cover in the northern Great Basin using a Regression-tree Model